Can liveness detection models generalise to synthetic media generation techniques they were never trained on? [D]

Liveness detection and synthetic media detection models often fail to generalize across unseen data and struggle with content from different models. Understanding how factors like data source diversity, training methodologies, and image alterations affect generalization capabilities is essential for building effective detectors. New synthetic media generation models emerge continuously, posing ongoing challenges to detection systems developed with previous techniques.

Source: r/MachineLearning | 2026-05-21